Kay (or Kai) L. Gemba
Kay (or Kai) L. Gemba
Oceanographer, United States Naval Research Laboratory
Adresse e-mail validée de nrl.navy.mil
Titre
Citée par
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Année
Multi-frequency sparse Bayesian learning for robust matched field processing
KL Gemba, S Nannuru, P Gerstoft, WS Hodgkiss
The Journal of the Acoustical Society of America 141 (5), 3411–3420, 2017
442017
Adaptive and compressive matched field processing
KL Gemba, WS Hodgkiss, P Gerstoft
The Journal of the Acoustical Society of America 141 (1), 92-103, 2017
442017
Sparse Bayesian learning with multiple dictionaries
S Nannuru, KL Gemba, P Gerstoft, WS Hodgkiss, CF Mecklenbräuker
Signal Processing 159 (June 2019), 159-170, 2019
192019
Robust ocean acoustic localization with sparse Bayesian learning
KL Gemba, S Nannuru, P Gerstoft
IEEE Journal of Selected Topics in Signal Processing, 2019
152019
Sparse Bayesian learning for beamforming using sparse linear arrays
S Nannuru, A Koochakzadeh, KL Gemba, P Pal, P Gerstoft
The Journal of the Acoustical Society of America 144 (5), 2719-2729, 2018
142018
Shape Effects On Drag
KL Gemba
https://www.researchgate.net/publication/330684511_Shape_effects_on_drag?_sg …, 2007
112007
Partial dereverberation used to characterize open circuit scuba diver signatures
KL Gemba, EM Nosal, TR Reed
The Journal of the Acoustical Society of America 136 (2), 623-633, 2014
102014
Measurement of Boundary Layer on a Flat Plate
K Gemba
https://www.researchgate.net/publication …, 2007
92007
Estimating relative channel impulse responses from ships of opportunity in a shallow water environment
KL Gemba, J Sarkar, B Cornuelle, WS Hodgkiss, WA Kuperman
The Journal of the Acoustical Society of America 144 (3), 1231-1244, 2018
82018
Sparse Bayesian learning with multiple dictionaries
S Nannuru, KL Gemba, P Gerstoft
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
8*2017
Source characterization using recordings made in a reverberant underwater channel
KL Gemba, EM Nosal
Applied Acoustics 105, 24-34, 2016
72016
Sparse Bayesian learning with uncertain sensing matrix
S Nannuru, P Gerstoft, KL Gemba
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
42017
Development and Testing of a Prototype LOX/propylene Upper Stage Engine
KL Gemba, D Verma, E Besnard
44th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, 1-12, 2008
32008
A tomography experiment using ships as sources of opportunity
WA Kuperman, B Cornuelle, KL Gemba, WS Hodgkiss, J Sarkar, ...
The Journal of the Acoustical Society of America 141 (5), 3528-3528, 2017
22017
Estimating and removing colorations from the deconvolved impulse response of an underwater acoustic channel
KL Gemba, EM Nosal, TR Reed
The Journal of the Acoustical Society of America 141 (1), EL6-EL10, 2017
22017
Algebraic solution of the harmonic oscillator with minimal length uncertainty relations
K Gemba, ZT Hlousek, Z Papp
arXiv preprint arXiv:0712.2078, 2007
22007
Extracting tomographic arrival time information from ships of opportunity in the Santa Barbara channel using blind deconvolution
NC Durofchalk, KL Gemba, J Sarkar, KG Sabra
The Journal of the Acoustical Society of America 142 (4), 2709-2709, 2017
12017
Multiple snapshot and multiple frequency compressive matched field processing
KL Gemba, WS Hodgkiss, P Gerstoft
The Journal of the Acoustical Society of America 139 (4), 2082-2082, 2016
12016
Single and multiple snapshot compressive matched field processing
KL Gemba, WS Hodgkiss, P Gerstoft
The Journal of the Acoustical Society of America 138 (3), 1928-1928, 2015
12015
Multiple constraint matched field processing tolerant to array tilt mismatch
G Byun, F Hunter Akins, KL Gemba, HC Song, WA Kuperman
The Journal of the Acoustical Society of America 147 (2), 1231-1238, 2020
2020
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